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  <h1>Source code for torch_tensorrt.logging</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">enum</span> <span class="kn">import</span> <span class="n">Enum</span>
<span class="kn">from</span> <span class="nn">torch_tensorrt._C</span> <span class="kn">import</span> <span class="p">(</span>
    <span class="n">_get_logging_prefix</span><span class="p">,</span>
    <span class="n">_set_logging_prefix</span><span class="p">,</span>
    <span class="n">_get_reportable_log_level</span><span class="p">,</span>
    <span class="n">_set_reportable_log_level</span><span class="p">,</span>
    <span class="n">_get_is_colored_output_on</span><span class="p">,</span>
    <span class="n">_set_is_colored_output_on</span><span class="p">,</span>
    <span class="n">_log</span><span class="p">,</span>
    <span class="n">LogLevel</span><span class="p">,</span>
<span class="p">)</span>


<div class="viewcode-block" id="Level"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.Level">[docs]</a><span class="k">class</span> <span class="nc">Level</span><span class="p">(</span><span class="n">Enum</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Enum to set the minimum required logging level to print a message to stdout&quot;&quot;&quot;</span>

    <span class="n">InternalError</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INTERNAL_ERROR</span>
    <span class="n">Error</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">ERROR</span>
    <span class="ne">Warning</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">WARNING</span>
    <span class="n">Info</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INFO</span>
    <span class="n">Debug</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">DEBUG</span>
    <span class="n">Graph</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">GRAPH</span>

    <span class="nd">@staticmethod</span>
    <span class="k">def</span> <span class="nf">_to_internal_level</span><span class="p">(</span><span class="n">external</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">LogLevel</span><span class="p">:</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">InternalError</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INTERNAL_ERROR</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">Error</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">ERROR</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">Warning</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">WARNING</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">Info</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INFO</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">Debug</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">DEBUG</span>
        <span class="k">if</span> <span class="n">external</span> <span class="o">==</span> <span class="n">Level</span><span class="o">.</span><span class="n">Graph</span><span class="p">:</span>
            <span class="k">return</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">GRAPH</span></div>


<div class="viewcode-block" id="get_logging_prefix"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.get_logging_prefix">[docs]</a><span class="k">def</span> <span class="nf">get_logging_prefix</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">str</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Get the prefix set for logging messages</span>

<span class="sd">    Returns:</span>
<span class="sd">        str: Prefix used for logger</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">return</span> <span class="n">_get_logging_prefix</span><span class="p">()</span></div>


<div class="viewcode-block" id="set_logging_prefix"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.set_logging_prefix">[docs]</a><span class="k">def</span> <span class="nf">set_logging_prefix</span><span class="p">(</span><span class="n">prefix</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Set the prefix used when logging messages</span>

<span class="sd">    Args:</span>
<span class="sd">        prefix (str): Prefix to use for logging messages</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">_set_logging_prefix</span><span class="p">(</span><span class="n">prefix</span><span class="p">)</span></div>


<div class="viewcode-block" id="get_reportable_log_level"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.get_reportable_log_level">[docs]</a><span class="k">def</span> <span class="nf">get_reportable_log_level</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">Level</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Get the level required for a message to be printed in the log</span>

<span class="sd">    Returns:</span>
<span class="sd">        torch_tensorrt.logging.Level: The enum representing the level required to print</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">return</span> <span class="n">Level</span><span class="p">(</span><span class="n">_get_reportable_log_level</span><span class="p">())</span></div>


<div class="viewcode-block" id="set_reportable_log_level"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.set_reportable_log_level">[docs]</a><span class="k">def</span> <span class="nf">set_reportable_log_level</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="n">Level</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Set the level required for a message to be printed to the log</span>

<span class="sd">    Args:</span>
<span class="sd">        level (torch_tensorrt.logging.Level): The enum representing the level required to print</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">_set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">_to_internal_level</span><span class="p">(</span><span class="n">level</span><span class="p">))</span></div>


<div class="viewcode-block" id="get_is_colored_output_on"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.get_is_colored_output_on">[docs]</a><span class="k">def</span> <span class="nf">get_is_colored_output_on</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="nb">bool</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Get if colored output is enabled for logging</span>

<span class="sd">    Returns:</span>
<span class="sd">        bool: If colored output is one</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="k">return</span> <span class="n">_get_is_colored_output_on</span><span class="p">()</span></div>


<div class="viewcode-block" id="set_is_colored_output_on"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.set_is_colored_output_on">[docs]</a><span class="k">def</span> <span class="nf">set_is_colored_output_on</span><span class="p">(</span><span class="n">colored_output_on</span><span class="p">:</span> <span class="nb">bool</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Enable or disable color in the log output</span>

<span class="sd">    Args:</span>
<span class="sd">        colored_output_on (bool): If colored output should be enabled or not</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">_set_is_colored_output_on</span><span class="p">(</span><span class="n">colored_output_on</span><span class="p">)</span></div>


<div class="viewcode-block" id="log"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.log">[docs]</a><span class="k">def</span> <span class="nf">log</span><span class="p">(</span><span class="n">level</span><span class="p">:</span> <span class="n">Level</span><span class="p">,</span> <span class="n">msg</span><span class="p">:</span> <span class="nb">str</span><span class="p">):</span>
    <span class="sd">&quot;&quot;&quot;Add a new message to the log</span>

<span class="sd">    Adds a new message to the log at a specified level. The message</span>
<span class="sd">    will only get printed out if Level &gt; reportable_log_level</span>

<span class="sd">    Args:</span>
<span class="sd">        level (torch_tensorrt.logging.Level): Severity of the message</span>
<span class="sd">        msg (str): Actual message text</span>
<span class="sd">    &quot;&quot;&quot;</span>
    <span class="n">_log</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">_to_internal_level</span><span class="p">(</span><span class="n">level</span><span class="p">),</span> <span class="n">msg</span><span class="p">)</span>

    <span class="n">InternalError</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INTERNAL_ERROR</span>
    <span class="n">Error</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">ERROR</span>
    <span class="ne">Warning</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">WARNING</span>
    <span class="n">Info</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">INFO</span>
    <span class="n">Debug</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">DEBUG</span>
    <span class="n">Graph</span> <span class="o">=</span> <span class="n">LogLevel</span><span class="o">.</span><span class="n">GRAPH</span></div>


<div class="viewcode-block" id="internal_errors"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.internal_errors">[docs]</a><span class="k">class</span> <span class="nc">internal_errors</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to limit displayed log messages to just internal errors</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.internal_errors():</span>
<span class="sd">        outputs = model_torchtrt(inputs)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">InternalError</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>


<div class="viewcode-block" id="errors"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.errors">[docs]</a><span class="k">class</span> <span class="nc">errors</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to limit displayed log messages to just errors and above</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.errors():</span>
<span class="sd">        outputs = model_torchtrt(inputs)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">Error</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>


<div class="viewcode-block" id="warnings"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.warnings">[docs]</a><span class="k">class</span> <span class="nc">warnings</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to limit displayed log messages to just warnings and above</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.warnings():</span>
<span class="sd">        model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">Warning</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>


<div class="viewcode-block" id="info"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.info">[docs]</a><span class="k">class</span> <span class="nc">info</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to display all info and greater severity messages</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.info():</span>
<span class="sd">        model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">Info</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>


<div class="viewcode-block" id="debug"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.debug">[docs]</a><span class="k">class</span> <span class="nc">debug</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to display full debug information through the logger</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.debug():</span>
<span class="sd">        model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">Debug</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>


<div class="viewcode-block" id="graphs"><a class="viewcode-back" href="../../py_api/logging.html#torch_tensorrt.logging.graphs">[docs]</a><span class="k">class</span> <span class="nc">graphs</span><span class="p">:</span>
    <span class="sd">&quot;&quot;&quot;Context-manager to display the results of intermediate lowering passes</span>
<span class="sd">    as well as full debug information through the logger</span>

<span class="sd">    Example::</span>

<span class="sd">    with torch_tensorrt.logging.graphs():</span>
<span class="sd">        model_trt = torch_tensorrt.compile(model, **spec)</span>
<span class="sd">    &quot;&quot;&quot;</span>

    <span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
        <span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span> <span class="o">=</span> <span class="n">get_reportable_log_level</span><span class="p">()</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="n">Level</span><span class="o">.</span><span class="n">Graph</span><span class="p">)</span>

    <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
        <span class="n">set_reportable_log_level</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">external_lvl</span><span class="p">)</span></div>
</pre></div>

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